Outcomes for Very Preterm Infants Across Health Systems

Jeannette A Rogowski1, Lucy Greenberg2, Erika M Edwards2,3,4

  • 1College of Health and Human Development, The Pennsylvania State University, University Park.

JAMA Network Open
|June 2, 2025
PubMed

Insights

Variation exists in care for very preterm infants across US health systems. A 2-percentage point mortality difference and 12-day length of stay variation highlight opportunities for quality improvement in neonatal intensive care units.

Area of Science:

  • Neonatal Medicine
  • Health Services Research
  • Pediatrics

Background:

  • Most very preterm infants in the US receive care within multihospital health systems due to consolidation.
  • The extent of outcome and length of stay variation for very preterm infants across these systems is largely unknown.

Purpose of the Study:

  • To evaluate variations in mortality and length of stay within and across health systems for infants born very preterm (gestational age 24-29 weeks).

Main Methods:

  • A cross-sectional study analyzed data from 224 US health systems in the Vermont Oxford Network between January 2021 and December 2022.
  • Included 38,501 very preterm infants receiving neonatal intensive care unit (NICU) care.
  • Multilevel logistic and linear models estimated adjusted mortality rates and length of stay.

Main Results:

  • The highest performing quartile of systems had a mean adjusted mortality rate of 7.8%, compared to 9.8% in the lowest performing quartile.
  • Mean adjusted length of stay for surviving infants ranged from 78 days in the highest performing quartile to 90 days in the lowest.
  • A 2-percentage point difference in mortality and a 12-day difference in length of stay were observed between system quartiles.

Conclusions:

  • Significant, potentially clinically meaningful variations in mortality and length of stay exist for very preterm infants across US health systems.
  • Opportunities are present for health systems to enhance quality of care at the system level, aiming to reduce mortality and resource utilization.
Abstract

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